What are the responsibilities and job description for the Senior Machine Learning Software Engineer position at Spryte Medical?
Senior Machine Learning Software Engineer
Reports to : Senior Director, Advanced Development & Software Engineering
Role Summary
The Senior Machine Learning Software Engineer plays a crucial role in leading the design and development of image processing modules for neurovascular OCT and Xray datasets, from initial feasibility investigations to fully developed solutions. The primary focus is on developing Machine Learning (ML) solutions, as well as optimizing code and implementing additional data processing steps. This individual will lead ML initiatives and be responsible for various aspects of the projects, including thorough documentation.
Essential Responsibilities
- Conduct Machine Learning (ML) research to evaluate optimal solutions for the reconstruction, segmentation, registration, classification, and detection imfage processing tasks. Develop rapid prototypes to demonstrate new features and ideas.
- Following initial research activities, complete the development of optimized ML models for the tasks listed above.
- Develop pre- and post-processing algorithms to complement ML models, providing comprehensive solutions for image and signal processing needs.
- Collaborate closely with the software development team.
- Debug and test code. Help maintain internal software tools and scripts.
- Follow company standard operating procedures. Create and maintain the required documentation.
- Participate in code review, and planning processes. Engage in software architecture design, and review meetings.
- Participate in the evaluation of supporting software, including Software of Unknown Pedigree (SOUP).
- Supervise the work of other ML engineers.
- Perform other duties as assigned.
Experience & Preferred Qualifications
Required
Preferred
Educational Requirements